{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Practical Deep Learning for Coders, v3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lesson 2_download"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hide_input": false
   },
   "source": [
    "# Creating your own dataset from Google Images\n",
    "# 从Google Images创建你自己的数据集\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*作者: Francisco Ingham 和 Jeremy Howard. 灵感来源于[Adrian Rosebrock](https://www.pyimagesearch.com/2017/12/04/how-to-create-a-deep-learning-dataset-using-google-images/)*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "hide_input": true
   },
   "source": [
    "In this tutorial we will see how to easily create an image dataset through Google Images. **Note**: You will have to repeat these steps for any new category you want to Google (e.g once for dogs and once for cats).<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在本教程中，我们将看到如何从Goolge Images中轻松地创建一个图片数据集。 **注意**：从Google搜集任何你想要的新品类，你都必须重复这些步骤（比如，狗的数据集，还有猫的数据集，你就得把这些步骤各执行一遍）。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hide_input": false
   },
   "outputs": [],
   "source": [
    "from fastai.vision import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get a list of URLs 获取URL的列表"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Search and scroll 搜索并翻看"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Go to [Google Images](http://images.google.com) and search for the images you are interested in. The more specific you are in your Google Search, the better the results and the less manual pruning you will have to do.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "打开[Google Images](http://images.google.com)页面，搜索你感兴趣的图片。你在搜索框中输入的信息越精确，那么搜索的结果就越好，而需要你手动处理的工作就越少。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Scroll down until you've seen all the images you want to download, or until you see a button that says 'Show more results'. All the images you scrolled past are now available to download. To get more, click on the button, and continue scrolling. The maximum number of images Google Images shows is 700.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "往下翻页直到你看到所有你想下载的图片，或者直到你看到一个“显示更多结果”的按钮为止。你刚翻看过的所有图片都是可下载的。为了获得更多的图片，点击“显示更多结果”按钮，继续翻看。Goolge Images最多可以显示700张图片。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is a good idea to put things you want to exclude into the search query, for instance if you are searching for the Eurasian wolf, \"canis lupus lupus\", it might be a good idea to exclude other variants:<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在搜索请求框中增加一些你想排除在外的信息是个好主意。比如，如果你要搜canis lupus lupus这一类欧亚混血狼，最好筛除掉别的种类（这样返回的结果才比较靠谱）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   \"canis lupus lupus\" -dog -arctos -familiaris -baileyi -occidentalis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also limit your results to show only photos by clicking on *Tools* and selecting *Photos* from the *Type* dropdown.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "你也可以限制搜索的结果，让搜索结果只显示照片，通过点击*工具*从*Type*里选择*照片*进行下载。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download into file 下载到文件中"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you must run some Javascript code in your browser which will save the URLs of all the images you want for you dataset.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在你需要在浏览器中运行一些javascript代码，浏览器将保存所有你想要放入数据集的图片的URL地址。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Press <kbd>Ctrl</kbd><kbd>Shift</kbd><kbd>J</kbd> in Windows/Linux and <kbd>Cmd</kbd><kbd>Opt</kbd><kbd>J</kbd> in Mac, and a small window the javascript 'Console' will appear. That is where you will paste the JavaScript commands.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(浏览器窗口下)windows/linux系统按<kbd>Ctrl</kbd><kbd>Shift</kbd><kbd>J</kbd>，Mac系统按 <kbd>Cmd</kbd><kbd>Opt</kbd><kbd>J</kbd>,就会弹出javascript的“控制台”面板，在这个面板中，你可以把相关的javascript命令粘贴进去。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will need to get the urls of each of the images. Before running the following commands, you may want to disable ads block add-ons (YouBlock) in Chrome. Otherwise window.open() coomand doesn't work. Then you can run the following commands:<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "你需要获得每个图片对应的url。在运行下面的代码之前，你可能需要在Chrome中禁用广告拦截插件，否则window.open()函数将不能工作。然后你就可以运行下面的代码："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```javascript\n",
    "urls = Array.from(document.querySelectorAll('.rg_di .rg_meta')).map(el=>JSON.parse(el.textContent).ou);\n",
    "window.open('data:text/csv;charset=utf-8,' + escape(urls.join('\\n')));\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create directory and upload urls file into your server "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 创建一个目录并将url文件上传到服务器上"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Choose an appropriate name for your labeled images. You can run these steps multiple times to create different labels.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为带标签的图片选择一个合适的名字，你可以多次执行下面的步骤来创建不同的标签。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder = 'black'\n",
    "file = 'urls_black.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder = 'teddys'\n",
    "file = 'urls_teddys.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "folder = 'grizzly'\n",
    "file = 'urls_grizzly.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will need to run this cell **once per each category**.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面的单元格，**每一个品种运行一次**。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'Path' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-c9b49cd9863f>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mpath\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'data/bears'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mdest\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpath\u001b[0m\u001b[1;33m/\u001b[0m\u001b[0mfolder\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      3\u001b[0m \u001b[0mdest\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mparents\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mexist_ok\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'Path' is not defined"
     ]
    }
   ],
   "source": [
    "path = Path('data/bears')\n",
    "dest = path/folder\n",
    "dest.mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[PosixPath('data/bears/urls_teddy.csv'),\n",
       " PosixPath('data/bears/black'),\n",
       " PosixPath('data/bears/urls_grizzly.csv'),\n",
       " PosixPath('data/bears/urls_black.csv')]"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path.ls()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, upload your urls file. You just need to press 'Upload' in your working directory and select your file, then click 'Upload' for each of the displayed files.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "最后,上传你的url文件。你只需要在工作区点击“Upload”按钮，然后选择你要上传的文件，再点击“Upload”即可。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](http://ml.xiniuedu.com/fastai/2/1.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download images 下载图片"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you will need to download your images from their respective urls.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "现在，你要做的是从图片对应的url地址下载这些图片。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "fast.ai has a function that allows you to do just that. You just have to specify the urls filename as well as the destination folder and this function will download and save all images that can be opened. If they have some problem in being opened, they will not be saved.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "fast.ai提供了一个函数来完成这个工作。你只需要指定url地址文件名和目标文件夹，这个函数就能自动下载和保存可打开的图片。如果图片本身无法打开的话，对应图片也不会被保存."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's download our images! Notice you can choose a maximum number of images to be downloaded. In this case we will not download all the urls.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们开始下载图片吧！注意你可以设定需要下载的最大图片数量，这样我们就不会下载所有url地址了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will need to run this line **once for every category**.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面这行代码，**每一个品种运行一次**。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "classes = ['teddys','grizzly','black']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "            /* Turns off some styling */\n",
       "            progress {\n",
       "                /* gets rid of default border in Firefox and Opera. */\n",
       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='200' class='' max='200', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [200/200 00:12<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Error https://npn-ndfapda.netdna-ssl.com/original/2X/9/973877494e28bd274c535610ffa8e262f7dcd0f2.jpeg HTTPSConnectionPool(host='npn-ndfapda.netdna-ssl.com', port=443): Max retries exceeded with url: /original/2X/9/973877494e28bd274c535610ffa8e262f7dcd0f2.jpeg (Caused by NewConnectionError('<urllib3.connection.VerifiedHTTPSConnection object at 0x7f2f7c168f60>: Failed to establish a new connection: [Errno -2] Name or service not known'))\n"
     ]
    }
   ],
   "source": [
    "download_images(path/file, dest, max_pics=200)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m    376\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Python 2.7, use buffering of HTTP responses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 377\u001b[0;31m                 \u001b[0mhttplib_response\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetresponse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbuffering\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    378\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Python 3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: getresponse() got an unexpected keyword argument 'buffering'",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mWantReadError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    293\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 294\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mconnection\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    295\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSysCallError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[1;32m   1813\u001b[0m             \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbuf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnbytes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1814\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_raise_ssl_error\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ssl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1815\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/OpenSSL/SSL.py\u001b[0m in \u001b[0;36m_raise_ssl_error\u001b[0;34m(self, ssl, result)\u001b[0m\n\u001b[1;32m   1613\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0merror\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_ERROR_WANT_READ\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1614\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mWantReadError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1615\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0merror\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_lib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL_ERROR_WANT_WRITE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mWantReadError\u001b[0m: ",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-29-90f92a041deb>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# If you have problems download, try with `max_workers=0` to see exceptions:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdownload_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_pics\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m20\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_workers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/fastai/fastai/vision/data.py\u001b[0m in \u001b[0;36mdownload_images\u001b[0;34m(urls, dest, max_pics, max_workers, timeout)\u001b[0m\n\u001b[1;32m    194\u001b[0m     \u001b[0mdest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mPath\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdest\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    195\u001b[0m     \u001b[0mdest\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmkdir\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexist_ok\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 196\u001b[0;31m     \u001b[0mparallel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpartial\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_download_image_inner\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_workers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_workers\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    197\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    198\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mresize_to\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarg_sz\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0muse_min\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mbool\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/fastai/fastai/core.py\u001b[0m in \u001b[0;36mparallel\u001b[0;34m(func, arr, max_workers)\u001b[0m\n\u001b[1;32m    299\u001b[0m     \u001b[0;34m\"Call `func` on every element of `arr` in parallel using `max_workers`.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    300\u001b[0m     \u001b[0mmax_workers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mifnone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_workers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdefaults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcpus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 301\u001b[0;31m     \u001b[0;32mif\u001b[0m \u001b[0mmax_workers\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    302\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    303\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mProcessPoolExecutor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_workers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_workers\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/fastai/fastai/core.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    299\u001b[0m     \u001b[0;34m\"Call `func` on every element of `arr` in parallel using `max_workers`.\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    300\u001b[0m     \u001b[0mmax_workers\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mifnone\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_workers\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdefaults\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcpus\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 301\u001b[0;31m     \u001b[0;32mif\u001b[0m \u001b[0mmax_workers\u001b[0m\u001b[0;34m<\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0m_\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    302\u001b[0m     \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    303\u001b[0m         \u001b[0;32mwith\u001b[0m \u001b[0mProcessPoolExecutor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_workers\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmax_workers\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/fastai/fastai/vision/data.py\u001b[0m in \u001b[0;36m_download_image_inner\u001b[0;34m(dest, url, i, timeout)\u001b[0m\n\u001b[1;32m    187\u001b[0m     \u001b[0msuffix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mre\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfindall\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mr'\\.\\w+?(?=(?:\\?|$))'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    188\u001b[0m     \u001b[0msuffix\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0msuffix\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msuffix\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;36m0\u001b[0m  \u001b[0;32melse\u001b[0m \u001b[0;34m'.jpg'\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 189\u001b[0;31m     \u001b[0mdownload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdest\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0;34mf\"{i:08d}{suffix}\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    190\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    191\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdownload_images\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murls\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mCollection\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdest\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mPathOrStr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_pics\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1000\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmax_workers\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mint\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m8\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/fastai/fastai/vision/data.py\u001b[0m in \u001b[0;36mdownload_image\u001b[0;34m(url, dest, timeout)\u001b[0m\n\u001b[1;32m    181\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mdownload_image\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 183\u001b[0;31m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdownload_url\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0moverwrite\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshow_progress\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    184\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf\"Error {url} {e}\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    185\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/fastai/fastai/core.py\u001b[0m in \u001b[0;36mdownload_url\u001b[0;34m(url, dest, overwrite, pbar, show_progress, chunk_size, timeout, retries)\u001b[0m\n\u001b[1;32m    164\u001b[0m     \u001b[0ms\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    165\u001b[0m     \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmount\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'http://'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mrequests\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0madapters\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mHTTPAdapter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmax_retries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mretries\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 166\u001b[0;31m     \u001b[0mu\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0ms\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstream\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    167\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mfile_size\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mu\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"Content-Length\"\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    168\u001b[0m     \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mshow_progress\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mget\u001b[0;34m(self, url, **kwargs)\u001b[0m\n\u001b[1;32m    544\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    545\u001b[0m         \u001b[0mkwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'allow_redirects'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 546\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'GET'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    547\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    548\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0moptions\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[0;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[1;32m    531\u001b[0m         }\n\u001b[1;32m    532\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 533\u001b[0;31m         \u001b[0mresp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    534\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    535\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m    666\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    667\u001b[0m         \u001b[0;31m# Resolve redirects if allowed.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 668\u001b[0;31m         \u001b[0mhistory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mresp\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mresp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mgen\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mallow_redirects\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    669\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    670\u001b[0m         \u001b[0;31m# Shuffle things around if there's history.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m    666\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    667\u001b[0m         \u001b[0;31m# Resolve redirects if allowed.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 668\u001b[0;31m         \u001b[0mhistory\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mresp\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mresp\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mgen\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mallow_redirects\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    669\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    670\u001b[0m         \u001b[0;31m# Shuffle things around if there's history.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36mresolve_redirects\u001b[0;34m(self, resp, req, stream, timeout, verify, cert, proxies, yield_requests, **adapter_kwargs)\u001b[0m\n\u001b[1;32m    245\u001b[0m                     \u001b[0mproxies\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mproxies\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m                     \u001b[0mallow_redirects\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 247\u001b[0;31m                     \u001b[0;34m**\u001b[0m\u001b[0madapter_kwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    248\u001b[0m                 )\n\u001b[1;32m    249\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/requests/sessions.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, **kwargs)\u001b[0m\n\u001b[1;32m    644\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    645\u001b[0m         \u001b[0;31m# Send the request\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 646\u001b[0;31m         \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    647\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    648\u001b[0m         \u001b[0;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/requests/adapters.py\u001b[0m in \u001b[0;36msend\u001b[0;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[1;32m    447\u001b[0m                     \u001b[0mdecode_content\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    448\u001b[0m                     \u001b[0mretries\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmax_retries\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 449\u001b[0;31m                     \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    450\u001b[0m                 )\n\u001b[1;32m    451\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[0;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[1;32m    598\u001b[0m                                                   \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout_obj\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    599\u001b[0m                                                   \u001b[0mbody\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 600\u001b[0;31m                                                   chunked=chunked)\n\u001b[0m\u001b[1;32m    601\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    602\u001b[0m             \u001b[0;31m# If we're going to release the connection in ``finally:``, then\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[0;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[1;32m    378\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m:\u001b[0m  \u001b[0;31m# Python 3\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    379\u001b[0m                 \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 380\u001b[0;31m                     \u001b[0mhttplib_response\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mconn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetresponse\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    381\u001b[0m                 \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    382\u001b[0m                     \u001b[0;31m# Remove the TypeError from the exception chain in Python 3;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/http/client.py\u001b[0m in \u001b[0;36mgetresponse\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m   1319\u001b[0m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1320\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1321\u001b[0;31m                 \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbegin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1322\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mConnectionError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1323\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mclose\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/http/client.py\u001b[0m in \u001b[0;36mbegin\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    294\u001b[0m         \u001b[0;31m# read until we get a non-100 response\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    295\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 296\u001b[0;31m             \u001b[0mversion\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mstatus\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreason\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_read_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    297\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mstatus\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0mCONTINUE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    298\u001b[0m                 \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/http/client.py\u001b[0m in \u001b[0;36m_read_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    255\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    256\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_read_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 257\u001b[0;31m         \u001b[0mline\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadline\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_MAXLINE\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"iso-8859-1\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    258\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mline\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0m_MAXLINE\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    259\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mLineTooLong\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"status line\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/socket.py\u001b[0m in \u001b[0;36mreadinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m    587\u001b[0m         \u001b[0;32mwhile\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    588\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 589\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrecv_into\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    590\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    591\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_timeout_occurred\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/contrib/pyopenssl.py\u001b[0m in \u001b[0;36mrecv_into\u001b[0;34m(self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    304\u001b[0m                 \u001b[0;32mraise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    305\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mOpenSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mSSL\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mWantReadError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 306\u001b[0;31m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mutil\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwait_for_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msocket\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msocket\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgettimeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    307\u001b[0m                 \u001b[0;32mraise\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'The read operation timed out'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    308\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/util/wait.py\u001b[0m in \u001b[0;36mwait_for_read\u001b[0;34m(sock, timeout)\u001b[0m\n\u001b[1;32m    141\u001b[0m     \u001b[0mReturns\u001b[0m \u001b[0;32mTrue\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mthe\u001b[0m \u001b[0msocket\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0mreadable\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;32mFalse\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mtimeout\u001b[0m \u001b[0mexpired\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    142\u001b[0m     \"\"\"\n\u001b[0;32m--> 143\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mwait_for_socket\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msock\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mread\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    144\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    145\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/util/wait.py\u001b[0m in \u001b[0;36mpoll_wait_for_socket\u001b[0;34m(sock, read, write, timeout)\u001b[0m\n\u001b[1;32m    102\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mpoll_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 104\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_retry_on_intr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdo_poll\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    105\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    106\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/util/wait.py\u001b[0m in \u001b[0;36m_retry_on_intr\u001b[0;34m(fn, timeout)\u001b[0m\n\u001b[1;32m     40\u001b[0m     \u001b[0;31m# Modern Python, that retries syscalls by default\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     41\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_retry_on_intr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 42\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     43\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     44\u001b[0m     \u001b[0;31m# Old and broken Pythons.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/urllib3/util/wait.py\u001b[0m in \u001b[0;36mdo_poll\u001b[0;34m(t)\u001b[0m\n\u001b[1;32m    100\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mt\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    101\u001b[0m             \u001b[0mt\u001b[0m \u001b[0;34m*=\u001b[0m \u001b[0;36m1000\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 102\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mpoll_obj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpoll\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    103\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    104\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mbool\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_retry_on_intr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdo_poll\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtimeout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "# If you have problems download, try with `max_workers=0` to see exceptions:\n",
    "download_images(path/file, dest, max_pics=20, max_workers=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we can remove any images that can't be opened: <br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "然后我们可以删除任何不能打开的图片:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "teddys\n"
     ]
    },
    {
     "data": {
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       "                border: none;\n",
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       "      <progress value='199' class='' max='199', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [199/199 00:02<00:00]\n",
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       "    "
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     },
     "metadata": {},
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000073.jpg'>\n",
      "Image data/bears/teddys/00000106.gif has 1 instead of 3 channels\n",
      "Image data/bears/teddys/00000067.png has 4 instead of 3 channels\n",
      "Image data/bears/teddys/00000109.png has 4 instead of 3 channels\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000179.png'>\n",
      "Image data/bears/teddys/00000125.jpg has 1 instead of 3 channels\n",
      "Image data/bears/teddys/00000127.gif has 1 instead of 3 channels\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000012.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000145.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000165.jpg'>\n",
      "Image data/bears/teddys/00000193.gif has 1 instead of 3 channels\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000059.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000075.jpg'>\n",
      "Image data/bears/teddys/00000035.png has 4 instead of 3 channels\n",
      "Image data/bears/teddys/00000086.png has 4 instead of 3 channels\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/teddys/00000177.jpg'>\n",
      "Image data/bears/teddys/00000110.png has 4 instead of 3 channels\n",
      "Image data/bears/teddys/00000099.gif has 1 instead of 3 channels\n",
      "Image data/bears/teddys/00000010.png has 4 instead of 3 channels\n",
      "grizzly\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
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       "        <style>\n",
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       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='199' class='' max='199', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [199/199 00:02<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000116.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000178.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000119.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000082.png'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000108.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000019.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000132.jpg'>\n",
      "Image data/bears/grizzly/00000175.gif has 1 instead of 3 channels\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/grizzly/00000122.jpg'>\n",
      "black\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
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       "                border: none;\n",
       "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "                background-size: auto;\n",
       "            }\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='197' class='' max='197', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [197/197 00:03<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000020.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000095.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000186.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000143.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000176.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000008.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000118.jpg'>\n",
      "cannot identify image file <_io.BufferedReader name='data/bears/black/00000135.jpg'>\n"
     ]
    }
   ],
   "source": [
    "for c in classes:\n",
    "    print(c)\n",
    "    verify_images(path/c, delete=True, max_size=500)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## View data 浏览数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(42)\n",
    "data = ImageDataBunch.from_folder(path, train=\".\", valid_pct=0.2,\n",
    "        ds_tfms=get_transforms(), size=224, num_workers=4).normalize(imagenet_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If you already cleaned your data, run this cell instead of the one before\n",
    "# 如果你已经清洗过你的数据,直接运行这格代码而不是上面的\n",
    "# np.random.seed(42)\n",
    "# data = ImageDataBunch.from_csv(path, folder=\".\", valid_pct=0.2, csv_labels='cleaned.csv',\n",
    "#         ds_tfms=get_transforms(), size=224, num_workers=4).normalize(imagenet_stats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good! Let's take a look at some of our pictures then.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "好！我们浏览一些照片。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['black', 'grizzly', 'teddys']"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.classes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x576 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.show_batch(rows=3, figsize=(7,8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['black', 'grizzly', 'teddys'], 3, 448, 111)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.classes, data.c, len(data.train_ds), len(data.valid_ds)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train model 训练模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = cnn_learner(data, models.resnet34, metrics=error_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "Total time: 00:26 <p><table style='width:300px; margin-bottom:10px'>\n",
       "  <tr>\n",
       "    <th>epoch</th>\n",
       "    <th>train_loss</th>\n",
       "    <th>valid_loss</th>\n",
       "    <th>error_rate</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>1</th>\n",
       "    <th>0.957604</th>\n",
       "    <th>0.199212</th>\n",
       "    <th>0.045045</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>2</th>\n",
       "    <th>0.556265</th>\n",
       "    <th>0.093994</th>\n",
       "    <th>0.036036</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>3</th>\n",
       "    <th>0.376028</th>\n",
       "    <th>0.082099</th>\n",
       "    <th>0.036036</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>4</th>\n",
       "    <th>0.273781</th>\n",
       "    <th>0.076548</th>\n",
       "    <th>0.027027</th>\n",
       "  </tr>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "learn.fit_one_cycle(4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.save('stage-1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.unfreeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.lr_find()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.recorder.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "Total time: 00:11 <p><table style='width:300px; margin-bottom:10px'>\n",
       "  <tr>\n",
       "    <th>epoch</th>\n",
       "    <th>train_loss</th>\n",
       "    <th>valid_loss</th>\n",
       "    <th>error_rate</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>1</th>\n",
       "    <th>0.046916</th>\n",
       "    <th>0.072489</th>\n",
       "    <th>0.027027</th>\n",
       "  </tr>\n",
       "  <tr>\n",
       "    <th>2</th>\n",
       "    <th>0.041749</th>\n",
       "    <th>0.070343</th>\n",
       "    <th>0.027027</th>\n",
       "  </tr>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "learn.fit_one_cycle(2, max_lr=slice(3e-5,3e-4))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.save('stage-2')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interpretation 结果解读"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.load('stage-2');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "interp = ClassificationInterpretation.from_learner(learn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "interp.plot_confusion_matrix()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleaning Up 清理\n",
    "\n",
    "Some of our top losses aren't due to bad performance by our model. There are images in our data set that shouldn't be.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "某些最大误差，不是由于模型的性能差导致的，而是由于数据集中的有些图片本身存在问题才导致的。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the `ImageCleaner` widget from `fastai.widgets` we can prune our top losses, removing photos that don't belong.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "从`fastai.widgets`库中导入并使用`ImageCleaner`小工具，我们就可以剔除那些归类错误的图片，从而减少预测失误。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.widgets import *"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First we need to get the file paths from our top_losses. We can do this with `.from_toplosses`. We then feed the top losses indexes and corresponding dataset to `ImageCleaner`.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "首先，我们可以借助`.from_toplosses`，从top_losses中获取我们需要的文件路径。随后喂给`ImageCleaner`误差高的索引以及对应的数据集参数。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that the widget will not delete images directly from disk but it will create a new csv file `cleaned.csv` from where you can create a new ImageDataBunch with the corrected labels to continue training your model.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "需要注意的是，这些小工具本身并不会直接从磁盘删除图片，它会创建一个新的csv文件`cleaned.csv`，通过这个文件，你可以新创建一个包含准确标签信息的ImageDataBunch（图片数据堆），并继续训练你的模型。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In order to clean the entire set of images, we need to create a new dataset without the split. The video lecture demostrated the use of the `ds_type` param which no longer has any effect. See [the thread](https://forums.fast.ai/t/duplicate-widget/30975/10) for more details.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为了清空整个图片集，我们需要创建一个新的未经分拆的数据集。视频课程里演示的`ds_type` 参数的用法已经不再有效。参照 [the thread](https://forums.fast.ai/t/duplicate-widget/30975/10) 来获取更多细节。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "db = (ImageList.from_folder(path)\n",
    "                   .no_split()\n",
    "                   .label_from_folder()\n",
    "                   .transform(get_transforms(), size=224)\n",
    "                   .databunch()\n",
    "     )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If you already cleaned your data using indexes from `from_toplosses`,<br><br>\n",
    "# 如果你已经从`from_toplosses`使用indexes清理了你的数据\n",
    "# run this cell instead of the one before to proceed with removing duplicates.<br><br>\n",
    "# 运行这个单元格里面的代码(而非上面单元格的内容)以便继续删除重复项\n",
    "# Otherwise all the results of the previous step would be overwritten by<br><br>\n",
    "# 否则前一个步骤中的结果都会被覆盖\n",
    "# the new run of `ImageCleaner`.<br><br>\n",
    "# 下面就是要运行的`ImageCleaner`代码,请把下面的注释去掉开始运行\n",
    "\n",
    "# db = (ImageList.from_csv(path, 'cleaned.csv', folder='.')\n",
    "#                    .no_split()\n",
    "#                    .label_from_df()\n",
    "#                    .transform(get_transforms(), size=224)\n",
    "#                    .databunch()\n",
    "#      )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we create a new learner to use our new databunch with all the images.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "接下来，我们要创建一个新的学习器来使用包含全部图片的新数据堆。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn_cln = cnn_learner(db, models.resnet34, metrics=error_rate)\n",
    "\n",
    "learn_cln.load('stage-2');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "ds, idxs = DatasetFormatter().from_toplosses(learn_cln)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure you're running this notebook in Jupyter Notebook, not Jupyter Lab. That is accessible via [/tree](/tree), not [/lab](/lab). Running the `ImageCleaner` widget in Jupyter Lab is [not currently supported](https://github.com/fastai/fastai/issues/1539).<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "确保你在Jupyter Notebook环境下运行这个notebook，而不是在Jupyter Lab中运行。我们可以通过[/tree](/tree)来访问（notebook），而不是[/lab](/lab)。[目前还不支持](https://github.com/fastai/fastai/issues/1539)在Jupyter Lab中运行`ImageCleaner`小工具。<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'No images to show :)'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ImageCleaner(ds, idxs, path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Flag photos for deletion by clicking 'Delete'. Then click 'Next Batch' to delete flagged photos and keep the rest in that row. `ImageCleaner` will show you a new row of images until there are no more to show. In this case, the widget will show you images until there are none left from `top_losses.ImageCleaner(ds, idxs)`.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "点击“Delete”标记待删除的照片，然后再点击“Next Batch”来删除已标记的照片，同时保持其他图片仍在原来的位置。`ImageCleaner`将显示一行新的图片，直到没有更多的图片可以展示。在这种情况下，小工具程序会为你展示图片，直到从`top_losses.ImageCleaner(ds, idxs)`没有更多图片输出为止。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also find duplicates in your dataset and delete them! To do this, you need to run `.from_similars` to get the potential duplicates' ids and then run `ImageCleaner` with `duplicates=True`. The API works in a similar way as with misclassified images: just choose the ones you want to delete and click 'Next Batch' until there are no more images left.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "你会发现在你的数据集中存在重复图片，一定要删除他们！为了做到这一点，你需要运行`.from_similars`来获取有潜在重复可能的图片的id，然后运行`ImageCleaner`并使用`duplicate=True`作为参数。API的工作方式和（处理）错误分类的图片相类似：你只要选中那些你想删除的图片，然后点击'Next Batch'直到没有更多的图片遗留为止。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure to recreate the databunch and `learn_cln` from the `cleaned.csv` file. Otherwise the file would be overwritten from scratch, loosing all the results from cleaning the data from toplosses.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "确保你从`cleaned.csv`文件中重新创建了数据堆和`learn_cln`，否则文件会被完全覆盖，你将丢失所有从失误排行里清洗数据后的结果。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Getting activations...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "        \t/* Turns off some styling */\n",
       "        \tprogress {\n",
       "\n",
       "            \t/* gets rid of default border in Firefox and Opera. */\n",
       "            \tborder: none;\n",
       "\n",
       "            \t/* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "            \tbackground-size: auto;\n",
       "            }\n",
       "\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='1' class='' max='1', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [1/1 00:01<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Computing similarities...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "        <style>\n",
       "        \t/* Turns off some styling */\n",
       "        \tprogress {\n",
       "\n",
       "            \t/* gets rid of default border in Firefox and Opera. */\n",
       "            \tborder: none;\n",
       "\n",
       "            \t/* Needs to be in here for Safari polyfill so background images work as expected. */\n",
       "            \tbackground-size: auto;\n",
       "            }\n",
       "\n",
       "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
       "                background: #F44336;\n",
       "            }\n",
       "        </style>\n",
       "      <progress value='55' class='' max='55', style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      100.00% [55/55 00:00<00:00]\n",
       "    </div>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ds, idxs = DatasetFormatter().from_similars(learn_cln)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'No images to show :)'"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ImageCleaner(ds, idxs, path, duplicates=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Remember to recreate your ImageDataBunch from your `cleaned.csv` to include the changes you made in your data!<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "记住从你的`cleaned.csv`中重新创建ImageDatabunch，以便包含你对数据的所有变更!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Putting your model in production 部署模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First thing first, let's export the content of our `Learner` object for production:<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "首先，导出我们训练好的`Learner`对象内容，为部署做好准备："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'learn' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-74b5358f014e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mlearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexport\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m: name 'learn' is not defined"
     ]
    }
   ],
   "source": [
    "learn.export()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This will create a file named 'export.pkl' in the directory where we were working that contains everything we need to deploy our model (the model, the weights but also some metadata like the classes or the transforms/normalization used).<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这个命令会在我们处理模型的目录里创建名为export.pk1的文件，该文件中包含了用于部署模型的所有信息（模型、权重，以及一些元数据，如一些类或用到的变换/归一化处理等）。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You probably want to use CPU for inference, except at massive scale (and you almost certainly don't need to train in real-time). If you don't have a GPU that happens automatically. You can test your model on CPU like so:<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "你可能想用CPU来进行推断，除了大规模的（几乎可以肯定你不需要实时训练模型)，（所以）如果你没有GPU资源，你也可以使用CPU来对模型做简单的测试："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "defaults.device = torch.device('cpu')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": 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\n",
      "image/png": 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\n",
      "text/plain": [
       "Image (3, 220, 300)"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img = open_image(path/'black'/'00000021.jpg')\n",
    "img"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We create our `Learner` in production enviromnent like this, jsut make sure that `path` contains the file 'export.pkl' from before.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们在这样的生产环境下创建`学习器`，只需确保`path`参数包含了前面生成好的“export.pk1”文件。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = load_learner(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Category black"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred_class,pred_idx,outputs = learn.predict(img)\n",
    "pred_class"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So you might create a route something like this ([thanks](https://github.com/simonw/cougar-or-not) to Simon Willison for the structure of this code):<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "你可能需要像下面的代码这样，创建一个路径, ([谢谢](https://github.com/simonw/cougar-or-not)Simon Willison提供了这些代码的架构）："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```python\n",
    "@app.route(\"/classify-url\", methods=[\"GET\"])\n",
    "async def classify_url(request):\n",
    "    bytes = await get_bytes(request.query_params[\"url\"])\n",
    "    img = open_image(BytesIO(bytes))\n",
    "    _,_,losses = learner.predict(img)\n",
    "    return JSONResponse({\n",
    "        \"predictions\": sorted(\n",
    "            zip(cat_learner.data.classes, map(float, losses)),\n",
    "            key=lambda p: p[1],\n",
    "            reverse=True\n",
    "        )\n",
    "    })\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(This example is for the [Starlette](https://www.starlette.io/) web app toolkit.)<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "（这个例子适用于 [Starlette](https://www.starlette.io/)的web app工具包）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Things that can go wrong 可能出错的地方"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Most of the time things will train fine with the defaults   \n",
    "大多数时候使用默认参数就能训练出好模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- There's not much you really need to tune (despite what you've heard!)   \n",
    "没有太多需要你去调整的（尽管你可能听到过一些）"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Most likely are   \n",
    "可能就是(下面的参数)\n",
    "  - Learning rate   学习率\n",
    "  - Number of epochs   epochs的数目"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Learning rate (LR) too high 学习率(LR)太高"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = cnn_learner(data, models.resnet34, metrics=error_rate)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total time: 00:13\n",
      "epoch  train_loss  valid_loss  error_rate       \n",
      "1      12.220007   1144188288.000000  0.765957    (00:13)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "learn.fit_one_cycle(1, max_lr=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Learning rate (LR) too low 学习率(LR)太低"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = cnn_learner(data, models.resnet34, metrics=error_rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Previously we had this result:<br> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "前面的代码运行后，我们得到如下结果："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```\n",
    "Total time: 00:57\n",
    "epoch  train_loss  valid_loss  error_rate\n",
    "1      1.030236    0.179226    0.028369    (00:14)\n",
    "2      0.561508    0.055464    0.014184    (00:13)\n",
    "3      0.396103    0.053801    0.014184    (00:13)\n",
    "4      0.316883    0.050197    0.021277    (00:15)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total time: 01:07\n",
      "epoch  train_loss  valid_loss  error_rate\n",
      "1      1.349151    1.062807    0.609929    (00:13)\n",
      "2      1.373262    1.045115    0.546099    (00:13)\n",
      "3      1.346169    1.006288    0.468085    (00:13)\n",
      "4      1.334486    0.978713    0.453901    (00:13)\n",
      "5      1.320978    0.978108    0.446809    (00:13)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "learn.fit_one_cycle(5, max_lr=1e-5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "learn.recorder.plot_losses()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As well as taking a really long time, it's getting too many looks at each image, so may overfit.<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "不仅运行耗时过长，而且模型对每一个图片都太过注重细节，因此可能过拟合。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Too few epochs     epochs过少"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = cnn_learner(data, models.resnet34, metrics=error_rate, pretrained=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'learn' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-1-4dfb24161c57>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mlearn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfit_one_cycle\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m: name 'learn' is not defined"
     ]
    }
   ],
   "source": [
    "learn.fit_one_cycle(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Too many epochs     epochs过多"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(42)\n",
    "data = ImageDataBunch.from_folder(path, train=\".\", valid_pct=0.9, bs=32, \n",
    "        ds_tfms=get_transforms(do_flip=False, max_rotate=0, max_zoom=1, max_lighting=0, max_warp=0\n",
    "                              ),size=224, num_workers=4).normalize(imagenet_stats)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn = cnn_learner(data, models.resnet50, metrics=error_rate, ps=0, wd=0)\n",
    "learn.unfreeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total time: 06:39\n",
      "epoch  train_loss  valid_loss  error_rate\n",
      "1      1.513021    1.041628    0.507326    (00:13)\n",
      "2      1.290093    0.994758    0.443223    (00:09)\n",
      "3      1.185764    0.936145    0.410256    (00:09)\n",
      "4      1.117229    0.838402    0.322344    (00:09)\n",
      "5      1.022635    0.734872    0.252747    (00:09)\n",
      "6      0.951374    0.627288    0.192308    (00:10)\n",
      "7      0.916111    0.558621    0.184982    (00:09)\n",
      "8      0.839068    0.503755    0.177656    (00:09)\n",
      "9      0.749610    0.433475    0.144689    (00:09)\n",
      "10     0.678583    0.367560    0.124542    (00:09)\n",
      "11     0.615280    0.327029    0.100733    (00:10)\n",
      "12     0.558776    0.298989    0.095238    (00:09)\n",
      "13     0.518109    0.266998    0.084249    (00:09)\n",
      "14     0.476290    0.257858    0.084249    (00:09)\n",
      "15     0.436865    0.227299    0.067766    (00:09)\n",
      "16     0.457189    0.236593    0.078755    (00:10)\n",
      "17     0.420905    0.240185    0.080586    (00:10)\n",
      "18     0.395686    0.255465    0.082418    (00:09)\n",
      "19     0.373232    0.263469    0.080586    (00:09)\n",
      "20     0.348988    0.258300    0.080586    (00:10)\n",
      "21     0.324616    0.261346    0.080586    (00:09)\n",
      "22     0.311310    0.236431    0.071429    (00:09)\n",
      "23     0.328342    0.245841    0.069597    (00:10)\n",
      "24     0.306411    0.235111    0.064103    (00:10)\n",
      "25     0.289134    0.227465    0.069597    (00:09)\n",
      "26     0.284814    0.226022    0.064103    (00:09)\n",
      "27     0.268398    0.222791    0.067766    (00:09)\n",
      "28     0.255431    0.227751    0.073260    (00:10)\n",
      "29     0.240742    0.235949    0.071429    (00:09)\n",
      "30     0.227140    0.225221    0.075092    (00:09)\n",
      "31     0.213877    0.214789    0.069597    (00:09)\n",
      "32     0.201631    0.209382    0.062271    (00:10)\n",
      "33     0.189988    0.210684    0.065934    (00:09)\n",
      "34     0.181293    0.214666    0.073260    (00:09)\n",
      "35     0.184095    0.222575    0.073260    (00:09)\n",
      "36     0.194615    0.229198    0.076923    (00:10)\n",
      "37     0.186165    0.218206    0.075092    (00:09)\n",
      "38     0.176623    0.207198    0.062271    (00:10)\n",
      "39     0.166854    0.207256    0.065934    (00:10)\n",
      "40     0.162692    0.206044    0.062271    (00:09)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "learn.fit_one_cycle(40, slice(1e-6,1e-4))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
